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Release: v0.32.0
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‎examples/advanced_diffusion_training/train_dreambooth_lora_flux_advanced.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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check_min_version("0.32.0.dev0")
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check_min_version("0.32.0")
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logger = get_logger(__name__)
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‎examples/advanced_diffusion_training/train_dreambooth_lora_sd15_advanced.py

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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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check_min_version("0.32.0.dev0")
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check_min_version("0.32.0")
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logger = get_logger(__name__)
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‎examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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check_min_version("0.32.0.dev0")
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check_min_version("0.32.0")
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logger = get_logger(__name__)
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‎examples/cogvideo/train_cogvideox_image_to_video_lora.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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check_min_version("0.32.0.dev0")
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logger = get_logger(__name__)
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‎examples/cogvideo/train_cogvideox_lora.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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check_min_version("0.32.0.dev0")
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logger = get_logger(__name__)
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‎examples/community/marigold_depth_estimation.py

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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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class MarigoldDepthOutput(BaseOutput):
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"""

‎examples/consistency_distillation/train_lcm_distill_lora_sd_wds.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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check_min_version("0.32.0.dev0")
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logger = get_logger(__name__)
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‎examples/consistency_distillation/train_lcm_distill_lora_sdxl.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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check_min_version("0.32.0.dev0")
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logger = get_logger(__name__)
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‎examples/consistency_distillation/train_lcm_distill_lora_sdxl_wds.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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check_min_version("0.32.0.dev0")
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logger = get_logger(__name__)
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‎examples/consistency_distillation/train_lcm_distill_sd_wds.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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check_min_version("0.32.0.dev0")
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logger = get_logger(__name__)
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‎examples/consistency_distillation/train_lcm_distill_sdxl_wds.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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logger = get_logger(__name__)
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‎examples/controlnet/train_controlnet.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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check_min_version("0.32.0.dev0")
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logger = get_logger(__name__)
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‎examples/controlnet/train_controlnet_flax.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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check_min_version("0.32.0.dev0")
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logger = logging.getLogger(__name__)
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‎examples/controlnet/train_controlnet_flux.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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check_min_version("0.32.0.dev0")
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logger = get_logger(__name__)
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if is_torch_npu_available():

‎examples/controlnet/train_controlnet_sd3.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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logger = get_logger(__name__)
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‎examples/controlnet/train_controlnet_sdxl.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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check_min_version("0.32.0.dev0")
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logger = get_logger(__name__)
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if is_torch_npu_available():

‎examples/custom_diffusion/train_custom_diffusion.py

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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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logger = get_logger(__name__)
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‎examples/dreambooth/train_dreambooth.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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check_min_version("0.32.0.dev0")
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logger = get_logger(__name__)
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‎examples/dreambooth/train_dreambooth_flax.py

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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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# Cache compiled models across invocations of this script.
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cc.initialize_cache(os.path.expanduser("~/.cache/jax/compilation_cache"))

‎examples/dreambooth/train_dreambooth_flux.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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logger = get_logger(__name__)
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‎examples/dreambooth/train_dreambooth_lora.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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logger = get_logger(__name__)
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‎examples/dreambooth/train_dreambooth_lora_flux.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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logger = get_logger(__name__)
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‎examples/dreambooth/train_dreambooth_lora_sana.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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logger = get_logger(__name__)
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‎examples/dreambooth/train_dreambooth_lora_sd3.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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check_min_version("0.32.0.dev0")
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logger = get_logger(__name__)
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‎examples/dreambooth/train_dreambooth_lora_sdxl.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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check_min_version("0.32.0.dev0")
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logger = get_logger(__name__)
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‎examples/dreambooth/train_dreambooth_sd3.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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check_min_version("0.32.0.dev0")
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logger = get_logger(__name__)
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‎examples/flux-control/train_control_flux.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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check_min_version("0.32.0.dev0")
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logger = get_logger(__name__)
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‎examples/flux-control/train_control_lora_flux.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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check_min_version("0.32.0.dev0")
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logger = get_logger(__name__)
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‎examples/instruct_pix2pix/train_instruct_pix2pix.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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check_min_version("0.32.0.dev0")
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logger = get_logger(__name__, log_level="INFO")
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‎examples/instruct_pix2pix/train_instruct_pix2pix_sdxl.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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logger = get_logger(__name__, log_level="INFO")
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‎examples/kandinsky2_2/text_to_image/train_text_to_image_decoder.py

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logger = get_logger(__name__, log_level="INFO")
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‎examples/kandinsky2_2/text_to_image/train_text_to_image_lora_decoder.py

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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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logger = get_logger(__name__, log_level="INFO")
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‎examples/kandinsky2_2/text_to_image/train_text_to_image_lora_prior.py

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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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logger = get_logger(__name__, log_level="INFO")
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‎examples/kandinsky2_2/text_to_image/train_text_to_image_prior.py

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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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logger = get_logger(__name__, log_level="INFO")
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‎examples/t2i_adapter/train_t2i_adapter_sdxl.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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logger = get_logger(__name__)
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‎examples/text_to_image/train_text_to_image.py

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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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logger = get_logger(__name__, log_level="INFO")
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‎examples/text_to_image/train_text_to_image_flax.py

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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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logger = logging.getLogger(__name__)
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‎examples/text_to_image/train_text_to_image_lora.py

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import wandb
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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logger = get_logger(__name__, log_level="INFO")
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‎examples/text_to_image/train_text_to_image_lora_sdxl.py

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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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logger = get_logger(__name__)
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if is_torch_npu_available():

‎examples/text_to_image/train_text_to_image_sdxl.py

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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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logger = get_logger(__name__)
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if is_torch_npu_available():

‎examples/textual_inversion/textual_inversion.py

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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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logger = get_logger(__name__)
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‎examples/textual_inversion/textual_inversion_flax.py

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# ------------------------------------------------------------------------------
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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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logger = logging.getLogger(__name__)
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‎examples/textual_inversion/textual_inversion_sdxl.py

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# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
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logger = get_logger(__name__)
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‎examples/unconditional_image_generation/train_unconditional.py

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logger = get_logger(__name__, log_level="INFO")
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